MobileNetV2 Paper Walkthrough: The Smarter Tiny Giant
Introduction was a breakthrough in the field of computer vision as it proved that deep learning models do not necessarily ...
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Build a Data Dashboard Using HTML, CSS, and JavaScript
dashboard for your customers, clients, or fellow workers is becoming an essential part of the skill set required by software ...
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Prediction vs. Search Models: What Data Scientists Are Missing
As data scientists, we’ve become extremely focused on building algorithms, causal/predictive models, and recommendation systems (and now genAI). We optimize ...
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Temporal-Difference Learning and the Importance of Exploration: An Illustrated Guide
Indeed, RL provides useful solutions to a variety of sequential decision-making problems. Temporal-Difference Learning (TD learning) methods are a popular subset of ...
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How to Improve the Efficiency of Your PyTorch Training Loop
models isn’t just about submitting data to the backpropagation algorithm. Often, the key factor determining the success or failure of a ...
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Beyond ROC-AUC and KS: The Gini Coefficient, Explained Simply
discussed about classification metrics like ROC-AUC and Kolmogorov-Smirnov (KS) Statistic in previous blogs. In this blog, we will explore another ...
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The Machine Learning Lessons I’ve Learned This Month
in machine learning are the same. Coding, waiting for results, interpreting them, returning back to coding. Plus, some intermediate presentations ...
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Preparing Video Data for Deep Learning: Introducing Vid Prepper
to preparing videos for machine learning/deep learning. Due to the size and computational cost of video data, it is vital ...
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What Clients Really Ask for in AI Projects
, clients and stakeholders don’t want surprises. What they expect is clarity, consistent communication, and transparency. They want results, but ...
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Eulerian Melodies: Graph Algorithms for Music Composition
composers are known to reuse motifs (i.e., characteristic note progressions or melodic fragments) across their works. For example, famous Hollywood ...
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